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STOC
2004
ACM
102views Algorithms» more  STOC 2004»
16 years 4 months ago
A simple polynomial-time rescaling algorithm for solving linear programs
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
John Dunagan, Santosh Vempala
ENC
2006
IEEE
15 years 10 months ago
Cleaning Training-Datasets with Noise-Aware Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante
ICML
2003
IEEE
16 years 4 months ago
Learning Distance Functions using Equivalence Relations
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daph...
ICML
2007
IEEE
16 years 4 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
ADMA
2005
Springer
149views Data Mining» more  ADMA 2005»
15 years 9 months ago
A New Support Vector Machine for Data Mining
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiu...